Editing Data Into Insights (Spring 2021)
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* Exceed requirements, but in fairly straightforward ways - e.g., an additional post in discussion every week. | * Exceed requirements, but in fairly straightforward ways - e.g., an additional post in discussion every week. | ||
* Compose complete and sufficiently detailed reflections. | * Compose complete and sufficiently detailed reflections. | ||
* Complete | * Complete many of the homework assignments. | ||
C: This reflects meeting the minimum expectations of the course. Students reaching this level of achievement | C: This reflects meeting the minimum expectations of the course. Students reaching this level of achievement | ||
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* Be collegial and continue discussion, through asking simple or limited questions. | * Be collegial and continue discussion, through asking simple or limited questions. | ||
* Compose reflections with straightforward and easily manageable goals and/or avoid discussions of challenges. | * Compose reflections with straightforward and easily manageable goals and/or avoid discussions of challenges. | ||
* Not complete homework assignments or turn | * Not complete homework assignments or turn some in in a hasty or incomplete manner. | ||
D/F: These are reserved for cases in which students do not complete work or participate. Students may also be impeding the ability of others to learn. | D/F: These are reserved for cases in which students do not complete work or participate. Students may also be impeding the ability of others to learn. | ||
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* Salganik, M. (2017). [https://www.bitbybitbook.com/en/ethics/ethics-intro/ Chapter 6: Ethics] from ''Bit by Bit''. | * Salganik, M. (2017). [https://www.bitbybitbook.com/en/ethics/ethics-intro/ Chapter 6: Ethics] from ''Bit by Bit''. | ||
* Kassner, M. [https://www.techrepublic.com/article/5-ethics-principles-big-data-analysts-must-follow/ 5 ethics principles big data analysts must follow] | * Kassner, M. [https://www.techrepublic.com/article/5-ethics-principles-big-data-analysts-must-follow/ 5 ethics principles big data analysts must follow] | ||
* McNulty, K. (2018). [https:// | * McNulty, K. (2018). [https://towardsdatascience.com/beware-of-storytelling-with-data-1710fea554b0 Beware of 'storytelling' in data and analytics] | ||
* (Optional) Steinmann, M., Matei, S. A., & Collmann, J. (2016). A Theoretical Framework for Ethical Reflection in Big Data Research. (On Brightspace) | * (Optional) Steinmann, M., Matei, S. A., & Collmann, J. (2016). A Theoretical Framework for Ethical Reflection in Big Data Research. (On Brightspace) | ||
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* EDS Chapter 7 | * EDS Chapter 7 | ||
* Healy, K. [https://socviz.co/lookatdata.html Data Visualization Chapter 1] | * Healy, K. [https://socviz.co/lookatdata.html Data Visualization Chapter 1] | ||
* | * Gelman, A. and Unwin, A. (2012). [http://www.stat.columbia.edu/~gelman/research/published/vis14.pdf Infovis and statistical graphics: Differrent goals, different looks]. | ||
* (Optional) Williams, R. (2008). [https://purdue-primo-prod.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=PURDUE_ALMA51793773920001081&context=L&vid=PURDUE&lang=en_US&search_scope=everything&adaptor=Local%20Search%20Engine&tab=default_tab&query=any,contains,The%20Non-Designer%27s%20Design%20Book&mode=Basic The Non-Designer's Design Book], Chapters 1-6 | * (Optional) Williams, R. (2008). [https://purdue-primo-prod.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=PURDUE_ALMA51793773920001081&context=L&vid=PURDUE&lang=en_US&search_scope=everything&adaptor=Local%20Search%20Engine&tab=default_tab&query=any,contains,The%20Non-Designer%27s%20Design%20Book&mode=Basic The Non-Designer's Design Book], Chapters 1-6 | ||
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'''Assignment Due:''' | '''Assignment Due:''' | ||
* [[Data_Into_Insights_(Spring_2021)/Final_project#Step_1:_Identify_a_dataset|Submit the data source for your final project]] | * [[Data_Into_Insights_(Spring_2021)/Final_project#Step_1:_Identify_a_dataset|Submit the data source for your final project]] | ||
* | * Submit 2 questions for take-home exam | ||
'''Readings:''' | '''Readings:''' | ||
* [https://socviz.co/groupfacettx.html#groupfacettx DV Chapter 4: Show the right numbers] | * [https://socviz.co/groupfacettx.html#groupfacettx DV Chapter 4: Show the right numbers] | ||
* EDS Chapter 8 | * EDS Chapter 8 | ||
* [https://r4ds.had.co.nz/transform.html R4DS Ch 5] | |||
* Hullman, J. [https://www-scientificamerican-com.ezproxy.lib.purdue.edu/article/how-to-get-better-at-embracing-unknowns/ How to get better at embracing unknowns] | * Hullman, J. [https://www-scientificamerican-com.ezproxy.lib.purdue.edu/article/how-to-get-better-at-embracing-unknowns/ How to get better at embracing unknowns] | ||
* Yau, N. [https://flowingdata.com/2018/01/08/visualizing-the-uncertainty-in-data/ Visualizing the uncertainty in data]. | * Yau, N. [https://flowingdata.com/2018/01/08/visualizing-the-uncertainty-in-data/ Visualizing the uncertainty in data]. | ||
'''Class Schedule:''' | '''Class Schedule:''' | ||
== Week 11: Text as data == | == Week 11: Text as data == | ||
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'''Assignment Due:''' | '''Assignment Due:''' | ||
* [[#Discussion Questions|Discussion questions]] | * [[#Discussion Questions|Discussion questions]] | ||
'''Readings:''' | '''Readings:''' | ||
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'''Assignment Due:''' | '''Assignment Due:''' | ||
* [[Self Assessment Reflection]] | * [[Self Assessment Reflection]] | ||
* [[/ | * [[/Exam|Take-home Exam]] | ||
'''Readings:''' | '''Readings:''' | ||
* [https://socviz.co/maps.html#maps DV Chapter 7: Maps] | * [https://socviz.co/maps.html#maps DV Chapter 7: Maps] | ||
'''Class Schedule:''' | '''Class Schedule:''' | ||
* Maps | * Maps | ||
* | * Networks | ||
* Annotations | * Annotations | ||
== Week 13: Importing and cleaning data == | == Week 13: Importing and cleaning data == | ||
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'''Assignment Due:''' | '''Assignment Due:''' | ||
* [[Data Into Insights (Spring 2021)/Final project#Step_2:_Explore_the_data_and_write_a_proposal|Proposal for final project]] | * [[Data Into Insights (Spring 2021)/Final project#Step_2:_Explore_the_data_and_write_a_proposal|Proposal for final project]] | ||
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'''Assignment Due:''' | '''Assignment Due:''' | ||
* [[#Discussion Questions| | * [[#Discussion Questions|Discussion questions]] | ||
* [[ | * [[/Final project proposal|New version of final project proposal]] (edited following peer feedback) | ||
'''Readings:''' | '''Readings:''' | ||
* Kim, Y. et al. (2017). [http://users.eecs.northwestern.edu/~jhullman/explaining_the_gap.pdf Explaining the Gap: Visualizing One’s Predictions | * Kim, Y. et al. (2017). [http://users.eecs.northwestern.edu/~jhullman/explaining_the_gap.pdf Explaining the Gap: Visualizing One’s Predictions ImprovesRecall and Comprehension of Data]. | ||
* Knaflic, C. N. ( | * Knaflic, C. N. (1029). [https://purdue.alma.exlibrisgroup.com/view/uresolver/01PURDUE_PUWL/openurl?ctx_enc=info:ofi/enc:UTF-8&ctx_id=10_1&ctx_tim=2020-06-13T12%3A39%3A32IST&ctx_ver=Z39.88-2004&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&url_ver=Z39.88-2004&rfr_id=info:sid/primo.exlibrisgroup.com-PURDUE_ALMA&req_id=_c20e3fe9e4a9a31b0162ece2023b8d45&rft_dat=ie=01PURDUE_PUWL:51807454010001081,language=eng,view=PURDUE&svc_dat=viewit&u.ignore_date_coverage=true&req.skin=PUWL&Force_direct=true&is_new_ui=true Storytelling with Data] Chapter 6 | ||
* EDS Chapter 9 | * EDS Chapter 9 | ||
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'''Assignment Due:''' | '''Assignment Due:''' | ||
* | * [[#Discussion Questions|Discussion questions]] | ||
* [[ | * [[/Final project rough draft|Final project rough draft]] for peer feedback | ||
'''Readings:''' | '''Readings:''' | ||
'''Topics:''' | '''Topics:''' | ||
* | * Including uncertainty | ||
April 29 | April 29 |